Compara mètodes

	Test de Hausman Bayesà	Model d'efectes aleatoris bayesià
Camp	Econometria	Econometria
Família	Regression model	Regression model
Any d'origen	1978 (classical); Bayesian adaptations 1990s–2000s	1972–1995
Autor original	Bayesian reformulation of Hausman (1978); developed across Bayesian econometrics literature	Lindley & Smith (1972); extended by Gelman, Rubin and colleagues
Tipus	Specification test / model comparison	Bayesian hierarchical panel model
Font seminal	Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271.	Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955
Àlies	Bayesian specification test, Bayesian endogeneity test, Bayesian FE vs RE test, Bayesian Durbin-Wu-Hausman	Bayesian hierarchical model, Bayesian mixed effects model, Bayesian multilevel model, BREM
Relacionats	5	5
Resum	The Bayesian Hausman test is a Bayesian reformulation of Hausman's (1978) classical specification test, used to assess endogeneity or to choose between fixed effects and random effects panel models. Instead of a chi-squared test statistic, it uses posterior model probabilities or Bayes factors to compare competing specifications, fully incorporating prior uncertainty about model parameters.	The Bayesian random effects model combines panel-data random effects with a Bayesian prior framework, allowing unit-specific effects to be treated as draws from a population distribution whose hyperparameters are estimated from the data. This produces regularised, uncertainty-quantified estimates that borrow strength across units — particularly valuable for short panels, sparse groups, or settings where frequentist variance-component estimation is unstable.